Bridging the gap between theory and practice of approximate Bayesian inference.
Johan KwisthoutIris van RooijPublished in: Cogn. Syst. Res. (2013)
Keyphrases
- bayesian inference
- expectation propagation
- probabilistic model
- hyperparameters
- prior information
- variational inference
- hierarchical bayesian
- variational bayes
- bayesian model
- particle filter
- statistical inference
- inference process
- weighted model counting
- gibbs sampler
- hidden variables
- markov networks
- bayesian models
- gaussian process
- probabilistic modeling
- prior distribution
- bayesian networks
- variational approximation
- learning algorithm